Spatio-temporal evaluation of the emergency capacity of the cross-regional rain-flood disaster in the Yangtze River Economic Belt in China

Qian Wang,Junfei Chen

doi:10.1038/s41598-021-82347-5

Abstract

This paper assesses the emergency capacity of rain-flood disaster in provinces along the Yangtze River Economic Belt (YREB), China, from 2013 to 2017. In this study, the evaluation index system of emergency capacity on rain-flood disaster was built from the economic-social and environmental-natural aspects, and spatial auto-correlation analysis was used to analyze spatial differentiation characteristics of the emergency capacity. Then, the Spatial Durbin Model (SDM) was used to analyze the influence mechanism of the development level of economic-social factors (ESF) subsystem, environmental-natural factors (ENF) subsystem and the coupling level of these two subsystems on the emergency capacity of rain-flood disaster in provinces. The findings show that the emergency capacity distribution of rain-flood disaster in the YREB presented a “decreasing” spatial pattern of eastern, central and western regions. The development of two subsystems has produced spatial spillover effect and diffusion effect on the neighboring areas. There was a high coupling degree between these two subsystems in the YREB. Although spillover effect existed in space, the spillover did not depend on economic distance.

Highlights

The occurrence of rain-flood disaster often causes huge losses to local development
Through the assessment of the emergency capacity of the rain-flood disaster and putting forward the management measures, this paper provided guidance for strengthening the rain-flood disaster management in the Yangtze River Economic Belt (YREB)
In order to study the spatial effect of economic-social factors (ESF) subsystem and environmental-natural factors (ENF) subsystem development level on the emergency capacity of the rain-flood disaster in provinces, this paper adopted spatial econometric analysis, which mainly involves autocorrelation test and spatial panel data model

Summary

Introduction

The occurrence of rain-flood disaster often causes huge losses to local development. rain-flood disaster has attracted attention from all walks of life. The ESF subsystem includes 11 indicators, such as per capita GDP, urbanization level, population density, etc., which reflect the respond ability of the provincial rain-flood disaster on the level of economic-social environment development.

Results

Conclusion